Background modeling using depth information

This paper mainly focuses on creating a global background model of a video sequence using the depth maps together with the RGB pictures. The first key concept is the near objects block the scenes at the back. With the aid of depth information, we can identify the closer moving objects. Secondly, we develop a recursive algorithm that iterates between the depth map and color pictures. Comparing to the existing schemes, our proposed method can produce better quality background images and it improves the background depth map at the same time.